In order to solve the problem that the low-level visual features can not express the high-level semantic contents accurately in image retrieval
the paper presents a new image similarity calculating approach using the proposed semantic measure. Based on the segmented image regions
the statistical mapping relationships between image blobs and semantic metadata are constructed and the layered semantic measurements between images are then defined. Experiment results on natural images show good retrieval quality based on the semantic similarity measure method.